基于光纤振动传感器的电缆隧道扰动信号检测与分析

Feng Zhu, Bing-xiang Huang, Tong-yu Liu, Binxin Hu, Guangdong Song, Hua Zhang, Wodong Mao, Huabin Gao, Yang Li, Huairui Su
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引用次数: 1

摘要

电缆隧道容易受到外力的影响,如开挖设备等,导致电缆出现异常,影响正常传输。为了及时发现电缆隧道的异常现象,采用光纤传感技术对电缆隧道进行实时监控。在电缆隧道顶板安装了4个光纤振动传感器,并与自主研制的光纤微震监测仪相连。在电缆隧道正上方模拟不同的振动信号,分析振动信号产生的时域和频域信息,识别受干扰电缆隧道的来源类型,以便及时对电缆隧道进行保护。结果表明,不同源类型产生的主频率存在明显差异,可以根据不同的主频率信号对源信息进行分类,特别是对外力损坏信息进行分类,从而及时保护电缆,保证用电安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and Analysis of disturbance signal of Cable Tunnel based on Optical Fiber Vibration Sensors
Cable tunnel is easily affected by external force, such as excavating equipment, which leads to abnormal cable and affects normal transmission. In order to detect the abnormal phenomenon of cable tunnel in time, the optical fiber sensing technology is used to monitor the cable tunnel in real time. Four fiber vibration sensors are installed on the roof of cable tunnel and connected to the self-developed optical fiber microseismic monitor. Different vibration signals are simulated directly above the cable tunnel, the time domain and frequency domain information generated by the vibration signal are analyzed, and the source type of the disturbed cable tunnel is identified in order to protect the cable tunnel in time. The results show that there are obvious differences in the main frequency produced by different source types, and the source information can be classified according to different main frequency signals, especially the information of external force damage, so as to protect cables in time and ensure the safety of electricity consumption.
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